code: def forward(self, input_ids=None, attention_mask=None, **kwargs):
      if input_ids != None:
          if input_ids.dim() == 3:
              self.encoder.num_contexts = input_ids.size(1)
          input_ids = input_ids.view(input_ids.size(0), -1)
      if attention_mask != None:
          attention_mask = attention_mask.view(
              attention_mask.size(0), -1
          )
  
      return super().forward(
          input_ids=input_ids, attention_mask=attention_mask, **kwargs
      )
  
file_path: lavis/lavis/models/pnp_vqa_models/pnp_unifiedqav2_fid.py
imports: import torch
  import torch.nn
  from lavis.common.registry import registry
  from lavis.models.base_model import BaseModel
  from lavis.common.utils import get_abs_path
  from transformers import T5Config, T5Tokenizer, T5ForConditionalGeneration
label_desc: Use image node_id 2 for calling the PNPUnifiedQAv2FiD obj's underlying member method code with example usage: obj.forward(input_ids, attention_mask) and returns: super